Enhanced Immunoadsorption on Imprinted Polymeric Microstructures with Nanoengineered Surface Topography for Lateral
Shuhei Aoyama1,2, Kenji Monden1, Yuto Akiyama1
1Denka Innovation Center, Denka Co., Ltd. , 3-5-1 Asahi-machi , Machida, Tokyo 194-8560 , Japan.
Analytical Chemistry
|October 5, 2019
Summary
Nanoengineered surfaces with controlled roughness significantly improve antibody immobilization for lateral flow immunoassay devices. This advancement enhances sensitivity and broadens the dynamic range for on-site disease detection.
Area of Science:
- Biomaterials Engineering
- Nanotechnology
- Analytical Chemistry
Background:
- Lateral flow immunoassay (LFIA) devices are crucial for point-of-care diagnostics.
- Surface nanotopography influences antibody immobilization efficiency in LFIA.
- Precise control over surface roughness in LFIA substrates remains underexplored.
Purpose of the Study:
- To engineer LFIA platforms with controlled nanometer-scale surface roughness.
- To investigate the impact of engineered nanotopography on antibody adsorption and immunoassay performance.
- To enhance the sensitivity and dynamic range of LFIA devices.
Main Methods:
- Fabrication of polycarbonate sheets with microcone array structures using thermal nanoimprinting lithography.
- Utilized molds created by micromachining and laser ablation to achieve varying surface roughness.
- Characterized nanotopography and evaluated antibody adsorption and C-reactive protein detection using sandwich immunoassays.
Main Results:
- Laser-ablated nickel molds produced surfaces with nanometer-scale bumps, enhancing antibody adsorption.
- Achieved highly sensitive detection of C-reactive protein (CRP) with a limit of detection around 0.01 μg mL⁻¹.
- Demonstrated a broad dynamic range for CRP detection in serum samples.
Conclusions:
- Nanoengineered surfaces with specific nanotopography significantly enhance biomolecule adsorption.
- The developed LFIA platforms show improved performance for sensitive and versatile on-site disease detection.
- This research provides insights into optimizing LFIA devices through surface engineering.
